Paper 2022/1094

Secure Integrated Sensing and Communication

Onur Gunlu, University of Siegen
Matthieu Bloch, Georgia Institute of Technology
Rafael F. Schaefer, University of Siegen
Aylin Yener, The Ohio State University

This work considers the problem of mitigating information leakage between communication and sensing in systems jointly performing both operations. Specifically, a discrete memoryless state-dependent broadcast channel model is studied in which (i) the presence of feedback enables a transmitter to convey information, while simultaneously performing channel state estimation; (ii) one of the receivers is treated as an eavesdropper whose state should be estimated but which should remain oblivious to part of the transmitted information. The model abstracts the challenges behind security for joint communication and sensing if one views the channel state as a sensitive attribute, e.g., location. For independent and identically distributed states, perfect output feedback, and when part of the transmitted message should be kept secret, a partial characterization of the secrecy-distortion region is developed. The characterization is exact when the broadcast channel is either physically-degraded or reversely-physically-degraded. The partial characterization is also extended to the situation in which the entire transmitted message should be kept secret. The benefits of a joint approach compared to separation-based secure communication and state-sensing methods are illustrated with binary joint communication and sensing models.

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integrated sensing and communication joint communication and sensing future communication systems
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onur guenlue @ uni-siegen de
2022-08-29: approved
2022-08-24: received
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      author = {Onur Gunlu and Matthieu Bloch and Rafael F. Schaefer and Aylin Yener},
      title = {Secure Integrated Sensing and Communication},
      howpublished = {Cryptology ePrint Archive, Paper 2022/1094},
      year = {2022},
      note = {\url{}},
      url = {}
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